Intelligent Optimization Strategies in Uncertain and Dynamic Environments

[Wang2009] A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems, Wang, Hongfeng, Wang Dingwei, and Yang Shengxiang , Soft Computing - A Fusion of Foundations, Methodologies and Applications, Volume 13, Number 8-9, p.763-780, (2009)

[Karaman2005] The Memory Indexing Evolutionary Algorithm for Dynamic Environments, Karaman, Aydin, Uyar Sima, and Eryigit Gülsen , Applications on Evolutionary Computing, Volume 3449, p.563-573, (2005)

[Li2008] A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization, Li, Changhe, and Yang Shengxiang , Simulated Evolution and Learning, Volume 5361, p.391-400, (2008)

[Branke2000] A Multi-Population Approach to Dynamic Optimization Problems, Branke, J., Kaubler T., Schmidt C., and Schmeck H. , Adaptive Computing in Design and Manufacture, p.299-308, (2000)

[Branke1999] Memory Enhanced Evolutionary Algorithms for Changing Optimization Problems, Branke, Jürgen , Proceedings of the Congress on Evolutionary Computation, 6-9, Volume 3, Mayflower Hotel, Washington D.C., USA, p.1875-1882, (1999)